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ASK1 inhibitors are potential pan-antiviral drugs, which dampen replication of diverse viruses including SARS-CoV2

2023· article· en· W4387747110 on OpenAlexafffund
Wael L. L. Demian, Rajesh Abraham Jacob, Olga Cormier, Aisha Nazli, Matthew Melki, Akarin Asavajaru, Kaushal Baid, Ali Zhang, Matthew S. Miller, Charu Kaushic, Arinjay Banerjee, Karen Mossman

Bibliographic record

VenueAntiviral Research · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsUniversity of SaskatchewanMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCanada Foundation for Innovation
KeywordsBiologyVirologyASK1VirusViral replicationProtein kinase RKinaseVacciniaActivator (genetics)Protein kinase AInterferonCell biologyMitogen-activated protein kinase kinaseReceptorBiochemistry

Abstract

fetched live from OpenAlex

Apoptosis signal-regulating kinase 1 (ASK1)/MAP3K5 is a stress response kinase that is activated by various stimuli. It is known as an upstream activator of p38- Mitogen-activated protein kinase (p38MAPK) and c-Jun N-terminal kinase (JNK) that are reactive oxygen species (ROS)-induced kinases. Accumulating evidence show that ROS accumulate in virus-infected cells. Here, we investigated the relationship between viruses and ASK1/p38MAPK or ASK1/JNK pathways. Our findings suggest that virus infection activates ASK1 related pathways. In parallel, ASK1 inhibition led to a remarkable reduction in the replication of a broad range of viruses including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), vaccinia virus (VV), vesicular stomatitis virus (VSV), Herpes Simplex Virus (HSV), and Human Immunodeficiency virus (HIV) in different human cell lines. Our work demonstrates the potential therapeutic use of Selonsertib, an ASK1 inhibitor, as a pan-antiviral drug in humans. Surprisingly, we observed differential effects of Selonsertib in in vitro and in vivo hamster models, suggesting caution in using rodent models to predict clinical and therapeutic outcomes in humans.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.120
GPT teacher head0.410
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2023
Admission routes2
Has abstractyes

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